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Databricks Inc.

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4.6 out of 5 stars
1,348 reviews
  • 2 profiles
  • 14 categories
Average star rating
4.6
#1 in 16 categories
Grid® leader
Serving customers since
2013
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Databricks

1,348 reviews

Making big data simple

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Databricks AI

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Databricks Inc. Reviews

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Profile Name
Star Rating
1067
264
13
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3
DA
Danny A.
07/15/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Streamlined Fraud Detection, But Pricey Continuous Workloads

|Databricks
I love that the Databricks notebook environment makes it easy for our data scientists and engineers to work in the same space without constantly handling code back and forth between separate tools, which used to slow down every model iteration. The integration with our streaming infrastructure has been genuinely solid, allowing us to pull transactions in continuously without a lot of custom plumbing on our end. I also appreciate that pushing score results back out to our decision engine is just as smooth. The performance and load have held up well during peak shopping periods when transaction volume spikes hard, and the pipeline manages to keep pace without falling behind.
Pranjal S.
PS
Pranjal S.
07/15/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Streamlined Legal Workflow with Databricks

|Databricks
I find Databricks really helpful for workflow automation and analysis in the legal industry. It helps manage documents related to legal compliance and contracts all in one place, which is a significant time saver. I like the ease of doing work with Databricks and its multiple tool integrations. I really like the PySpark feature, which makes Databricks stand out. The product's ease of use and simple user interface make it accessible even to non-tech individuals, helping everyone manage tasks easily. The initial setup of Databricks was really very easy and was completed in a week. Overall, it is a really great product.
ZA
Zeeshan A.
07/14/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Efficient Data Management with Room for UI Improvements

|Databricks
I especially like the ability to generate visualizations within the same platform, which saves me a lot of time by not having to constantly export the data to make the information understandable. The real-time collaboration capabilities and processing speed are undoubtedly excellent, and the fact that it can be installed on a laptop and allows me to view the team's progress is superb. The initial setup was surprisingly efficient.

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HQ Location:
San Francisco, CA

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@databricks

What is Databricks Inc.?

Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle.

Details

Year Founded
2013
Website
databricks.com